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    "# Calculating SHAP Values for GBM models in H2O\n",
    "\n",
    "Note: this example is adapted from an example published in the shap package https://github.com/slundberg/shap/blob/master/notebooks/tree_explainer/Front%20page%20example%20(XGBoost).ipynb"
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      "versionFromGradle='3.23.0',projectVersion='3.23.0.99999',branch='michalk_treeshap-expose',lastCommitHash='e945ade4bf70cb04112390d86e1af63d14c53832',gitDescribe='jenkins-master-4610-17-ge945ade-dirty',compiledOn='2019-03-21 11:02:19',compiledBy='mkurka'\n",
      "Checking whether there is an H2O instance running at http://localhost:54321 . connected.\n",
      "versionFromGradle='3.23.0',projectVersion='3.23.0.99999',branch='michalk_treeshap-expose',lastCommitHash='e945ade4bf70cb04112390d86e1af63d14c53832',gitDescribe='jenkins-master-4610-17-ge945ade-dirty',compiledOn='2019-03-21 11:02:19',compiledBy='mkurka'\n"
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       "<div style=\"overflow:auto\"><table style=\"width:50%\"><tr><td>H2O cluster uptime:</td>\n",
       "<td>2 mins 01 secs</td></tr>\n",
       "<tr><td>H2O cluster timezone:</td>\n",
       "<td>America/Los_Angeles</td></tr>\n",
       "<tr><td>H2O data parsing timezone:</td>\n",
       "<td>UTC</td></tr>\n",
       "<tr><td>H2O cluster version:</td>\n",
       "<td>3.23.0.99999</td></tr>\n",
       "<tr><td>H2O cluster version age:</td>\n",
       "<td>1 hour and 25 minutes </td></tr>\n",
       "<tr><td>H2O cluster name:</td>\n",
       "<td>mkurka</td></tr>\n",
       "<tr><td>H2O cluster total nodes:</td>\n",
       "<td>1</td></tr>\n",
       "<tr><td>H2O cluster free memory:</td>\n",
       "<td>3.277 Gb</td></tr>\n",
       "<tr><td>H2O cluster total cores:</td>\n",
       "<td>8</td></tr>\n",
       "<tr><td>H2O cluster allowed cores:</td>\n",
       "<td>8</td></tr>\n",
       "<tr><td>H2O cluster status:</td>\n",
       "<td>locked, healthy</td></tr>\n",
       "<tr><td>H2O connection url:</td>\n",
       "<td>http://localhost:54321</td></tr>\n",
       "<tr><td>H2O connection proxy:</td>\n",
       "<td>None</td></tr>\n",
       "<tr><td>H2O internal security:</td>\n",
       "<td>False</td></tr>\n",
       "<tr><td>H2O API Extensions:</td>\n",
       "<td>XGBoost, Algos, AutoML, Core V3, Core V4</td></tr>\n",
       "<tr><td>Python version:</td>\n",
       "<td>2.7.14 final</td></tr></table></div>"
      ],
      "text/plain": [
       "--------------------------  ----------------------------------------\n",
       "H2O cluster uptime:         2 mins 01 secs\n",
       "H2O cluster timezone:       America/Los_Angeles\n",
       "H2O data parsing timezone:  UTC\n",
       "H2O cluster version:        3.23.0.99999\n",
       "H2O cluster version age:    1 hour and 25 minutes\n",
       "H2O cluster name:           mkurka\n",
       "H2O cluster total nodes:    1\n",
       "H2O cluster free memory:    3.277 Gb\n",
       "H2O cluster total cores:    8\n",
       "H2O cluster allowed cores:  8\n",
       "H2O cluster status:         locked, healthy\n",
       "H2O connection url:         http://localhost:54321\n",
       "H2O connection proxy:\n",
       "H2O internal security:      False\n",
       "H2O API Extensions:         XGBoost, Algos, AutoML, Core V3, Core V4\n",
       "Python version:             2.7.14 final\n",
       "--------------------------  ----------------------------------------"
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r={topAbort:null,topAnimationEnd:null,topAnimationIteration:null,topAnimationStart:null,topBlur:null,topCanPlay:null,topCanPlayThrough:null,topChange:null,topClick:null,topCompositionEnd:null,topCompositionStart:null,topCompositionUpdate:null,topContextMenu:null,topCopy:null,topCut:null,topDoubleClick:null,topDrag:null,topDragEnd:null,topDragEnter:null,topDragExit:null,topDragLeave:null,topDragOver:null,topDragStart:null,topDrop:null,topDurationChange:null,topEmptied:null,topEncrypted:null,topEnded:null,topError:null,topFocus:null,topInput:null,topInvalid:null,topKeyDown:null,topKeyPress:null,topKeyUp:null,topLoad:null,topLoadedData:null,topLoadedMetadata:null,topLoadStart:null,topMouseDown:null,topMouseMove:null,topMouseOut:null,topMouseOver:null,topMouseUp:null,topPaste:null,topPause:null,topPlay:null,topPlaying:null,topProgress:null,topRateChange:null,topReset:null,topScroll:null,topSeeked:null,topSeeking:null,topSelectionChange:null,topStalled:null,topSubmit:null,topSuspend:null,topTextInput:null,topTimeUpdate:null,topTouchCancel:null,topTouchEnd:null,topTouchMove:null,topTouchStart:null,topTransitionEnd:null,topVolumeChange:null,topWaiting:null,topWheel:null},i={topLevelTypes:r};t.exports=i},function(t,e,n){\"use 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RegExp(\"^(data|aria)-[\"+r.ATTRIBUTE_NAME_CHAR+\"]*$\")),Properties:{accept:0,acceptCharset:0,accessKey:0,action:0,allowFullScreen:o,allowTransparency:0,alt:0,as:0,async:o,autoComplete:0,autoPlay:o,capture:o,cellPadding:0,cellSpacing:0,charSet:0,challenge:0,checked:i|o,cite:0,classID:0,className:0,cols:u,colSpan:0,content:0,contentEditable:0,contextMenu:0,controls:o,controlsList:0,coords:0,crossOrigin:0,data:0,dateTime:0,default:o,defer:o,dir:0,disabled:o,download:c,draggable:0,encType:0,form:0,formAction:0,formEncType:0,formMethod:0,formNoValidate:o,formTarget:0,frameBorder:0,headers:0,height:0,hidden:o,high:0,href:0,hrefLang:0,htmlFor:0,httpEquiv:0,icon:0,id:0,inputMode:0,integrity:0,is:0,keyParams:0,keyType:0,kind:0,label:0,lang:0,list:0,loop:o,low:0,manifest:0,marginHeight:0,marginWidth:0,max:0,maxLength:0,media:0,mediaGroup:0,method:0,min:0,minLength:0,multiple:i|o,muted:i|o,name:0,nonce:0,noValidate:o,open:o,optimum:0,pattern:0,placeholder:0,playsInline:o,poster:0,preload:0,profile:0,radioGroup:0,readOnly:o,referrerPolicy:0,rel:0,required:o,reversed:o,role:0,rows:u,rowSpan:a,sandbox:0,scope:0,scoped:o,scrolling:0,seamless:o,selected:i|o,shape:0,size:u,sizes:0,span:u,spellCheck:0,src:0,srcDoc:0,srcLang:0,srcSet:0,start:a,step:0,style:0,summary:0,tabIndex:0,target:0,title:0,type:0,useMap:0,value:0,width:0,wmode:0,wrap:0,about:0,datatype:0,inlist:0,prefix:0,property:0,resource:0,typeof:0,vocab:0,autoCapitalize:0,autoCorrect:0,autoSave:0,color:0,itemProp:0,itemScope:o,itemType:0,itemID:0,itemRef:0,results:0,security:0,unselectable:0},DOMAttributeNames:{acceptCharset:\"accept-charset\",className:\"class\",htmlFor:\"for\",httpEquiv:\"http-equiv\"},DOMPropertyNames:{},DOMMutationMethods:{value:function(t,e){if(null==e)return t.removeAttribute(\"value\");\"number\"!==t.type||!1===t.hasAttribute(\"value\")?t.setAttribute(\"value\",\"\"+e):t.validity&&!t.validity.badInput&&t.ownerDocument.activeElement!==t&&t.setAttribute(\"value\",\"\"+e)}}};t.exports=s},function(t,e,n){\"use strict\";(function(e){function r(t,e,n,r){var i=void 0===t[n];null!=e&&i&&(t[n]=o(e,!0))}var i=n(24),o=n(174),a=(n(85),n(96)),u=n(177);n(2);void 0!==e&&e.env;var c={instantiateChildren:function(t,e,n,i){if(null==t)return null;var o={};return u(t,r,o),o},updateChildren:function(t,e,n,r,u,c,s,l,f){if(e||t){var p,h;for(p in e)if(e.hasOwnProperty(p)){h=t&&t[p];var d=h&&h._currentElement,v=e[p];if(null!=h&&a(d,v))i.receiveComponent(h,v,u,l),e[p]=h;else{h&&(r[p]=i.getHostNode(h),i.unmountComponent(h,!1));var g=o(v,!0);e[p]=g;var m=i.mountComponent(g,u,c,s,l,f);n.push(m)}}for(p in t)!t.hasOwnProperty(p)||e&&e.hasOwnProperty(p)||(h=t[p],r[p]=i.getHostNode(h),i.unmountComponent(h,!1))}},unmountChildren:function(t,e){for(var n in t)if(t.hasOwnProperty(n)){var r=t[n];i.unmountComponent(r,e)}}};t.exports=c}).call(e,n(156))},function(t,e,n){\"use strict\";var r=n(82),i=n(364),o={processChildrenUpdates:i.dangerouslyProcessChildrenUpdates,replaceNodeWithMarkup:r.dangerouslyReplaceNodeWithMarkup};t.exports=o},function(t,e,n){\"use strict\";function r(t){}function i(t){return!(!t.prototype||!t.prototype.isReactComponent)}function o(t){return!(!t.prototype||!t.prototype.isPureReactComponent)}var a=n(1),u=n(3),c=n(26),s=n(87),l=n(15),f=n(88),p=n(39),h=(n(9),n(168)),d=n(24),v=n(51),g=(n(0),n(81)),m=n(96),y=(n(2),{ImpureClass:0,PureClass:1,StatelessFunctional:2});r.prototype.render=function(){var t=p.get(this)._currentElement.type,e=t(this.props,this.context,this.updater);return e};var _=1,b={construct:function(t){this._currentElement=t,this._rootNodeID=0,this._compositeType=null,this._instance=null,this._hostParent=null,this._hostContainerInfo=null,this._updateBatchNumber=null,this._pendingElement=null,this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1,this._renderedNodeType=null,this._renderedComponent=null,this._context=null,this._mountOrder=0,this._topLevelWrapper=null,this._pendingCallbacks=null,this._calledComponentWillUnmount=!1},mountComponent:function(t,e,n,u){this._context=u,this._mountOrder=_++,this._hostParent=e,this._hostContainerInfo=n;var s,l=this._currentElement.props,f=this._processContext(u),h=this._currentElement.type,d=t.getUpdateQueue(),g=i(h),m=this._constructComponent(g,l,f,d);g||null!=m&&null!=m.render?o(h)?this._compositeType=y.PureClass:this._compositeType=y.ImpureClass:(s=m,null===m||!1===m||c.isValidElement(m)||a(\"105\",h.displayName||h.name||\"Component\"),m=new r(h),this._compositeType=y.StatelessFunctional);m.props=l,m.context=f,m.refs=v,m.updater=d,this._instance=m,p.set(m,this);var b=m.state;void 0===b&&(m.state=b=null),(\"object\"!=typeof b||Array.isArray(b))&&a(\"106\",this.getName()||\"ReactCompositeComponent\"),this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1;var x;return x=m.unstable_handleError?this.performInitialMountWithErrorHandling(s,e,n,t,u):this.performInitialMount(s,e,n,t,u),m.componentDidMount&&t.getReactMountReady().enqueue(m.componentDidMount,m),x},_constructComponent:function(t,e,n,r){return this._constructComponentWithoutOwner(t,e,n,r)},_constructComponentWithoutOwner:function(t,e,n,r){var i=this._currentElement.type;return t?new i(e,n,r):i(e,n,r)},performInitialMountWithErrorHandling:function(t,e,n,r,i){var o,a=r.checkpoint();try{o=this.performInitialMount(t,e,n,r,i)}catch(u){r.rollback(a),this._instance.unstable_handleError(u),this._pendingStateQueue&&(this._instance.state=this._processPendingState(this._instance.props,this._instance.context)),a=r.checkpoint(),this._renderedComponent.unmountComponent(!0),r.rollback(a),o=this.performInitialMount(t,e,n,r,i)}return o},performInitialMount:function(t,e,n,r,i){var o=this._instance,a=0;o.componentWillMount&&(o.componentWillMount(),this._pendingStateQueue&&(o.state=this._processPendingState(o.props,o.context))),void 0===t&&(t=this._renderValidatedComponent());var u=h.getType(t);this._renderedNodeType=u;var c=this._instantiateReactComponent(t,u!==h.EMPTY);this._renderedComponent=c;var s=d.mountComponent(c,r,e,n,this._processChildContext(i),a);return s},getHostNode:function(){return d.getHostNode(this._renderedComponent)},unmountComponent:function(t){if(this._renderedComponent){var e=this._instance;if(e.componentWillUnmount&&!e._calledComponentWillUnmount)if(e._calledComponentWillUnmount=!0,t){var n=this.getName()+\".componentWillUnmount()\";f.invokeGuardedCallback(n,e.componentWillUnmount.bind(e))}else e.componentWillUnmount();this._renderedComponent&&(d.unmountComponent(this._renderedComponent,t),this._renderedNodeType=null,this._renderedComponent=null,this._instance=null),this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1,this._pendingCallbacks=null,this._pendingElement=null,this._context=null,this._rootNodeID=0,this._topLevelWrapper=null,p.remove(e)}},_maskContext:function(t){var e=this._currentElement.type,n=e.contextTypes;if(!n)return v;var r={};for(var i in n)r[i]=t[i];return r},_processContext:function(t){var e=this._maskContext(t);return e},_processChildContext:function(t){var e,n=this._currentElement.type,r=this._instance;if(r.getChildContext&&(e=r.getChildContext()),e){\"object\"!=typeof n.childContextTypes&&a(\"107\",this.getName()||\"ReactCompositeComponent\");for(var i in e)i in n.childContextTypes||a(\"108\",this.getName()||\"ReactCompositeComponent\",i);return u({},t,e)}return t},_checkContextTypes:function(t,e,n){},receiveComponent:function(t,e,n){var r=this._currentElement,i=this._context;this._pendingElement=null,this.updateComponent(e,r,t,i,n)},performUpdateIfNecessary:function(t){null!=this._pendingElement?d.receiveComponent(this,this._pendingElement,t,this._context):null!==this._pendingStateQueue||this._pendingForceUpdate?this.updateComponent(t,this._currentElement,this._currentElement,this._context,this._context):this._updateBatchNumber=null},updateComponent:function(t,e,n,r,i){var o=this._instance;null==o&&a(\"136\",this.getName()||\"ReactCompositeComponent\");var u,c=!1;this._context===i?u=o.context:(u=this._processContext(i),c=!0);var s=e.props,l=n.props;e!==n&&(c=!0),c&&o.componentWillReceiveProps&&o.componentWillReceiveProps(l,u);var f=this._processPendingState(l,u),p=!0;this._pendingForceUpdate||(o.shouldComponentUpdate?p=o.shouldComponentUpdate(l,f,u):this._compositeType===y.PureClass&&(p=!g(s,l)||!g(o.state,f))),this._updateBatchNumber=null,p?(this._pendingForceUpdate=!1,this._performComponentUpdate(n,l,f,u,t,i)):(this._currentElement=n,this._context=i,o.props=l,o.state=f,o.context=u)},_processPendingState:function(t,e){var n=this._instance,r=this._pendingStateQueue,i=this._pendingReplaceState;if(this._pendingReplaceState=!1,this._pendingStateQueue=null,!r)return n.state;if(i&&1===r.length)return r[0];for(var o=u({},i?r[0]:n.state),a=i?1:0;a<r.length;a++){var c=r[a];u(o,\"function\"==typeof c?c.call(n,o,t,e):c)}return o},_performComponentUpdate:function(t,e,n,r,i,o){var a,u,c,s=this._instance,l=Boolean(s.componentDidUpdate);l&&(a=s.props,u=s.state,c=s.context),s.componentWillUpdate&&s.componentWillUpdate(e,n,r),this._currentElement=t,this._context=o,s.props=e,s.state=n,s.context=r,this._updateRenderedComponent(i,o),l&&i.getReactMountReady().enqueue(s.componentDidUpdate.bind(s,a,u,c),s)},_updateRenderedComponent:function(t,e){var n=this._renderedComponent,r=n._currentElement,i=this._renderValidatedComponent(),o=0;if(m(r,i))d.receiveComponent(n,i,t,this._processChildContext(e));else{var a=d.getHostNode(n);d.unmountComponent(n,!1);var u=h.getType(i);this._renderedNodeType=u;var c=this._instantiateReactComponent(i,u!==h.EMPTY);this._renderedComponent=c;var s=d.mountComponent(c,t,this._hostParent,this._hostContainerInfo,this._processChildContext(e),o);this._replaceNodeWithMarkup(a,s,n)}},_replaceNodeWithMarkup:function(t,e,n){s.replaceNodeWithMarkup(t,e,n)},_renderValidatedComponentWithoutOwnerOrContext:function(){var t=this._instance;return t.render()},_renderValidatedComponent:function(){var t;if(this._compositeType!==y.StatelessFunctional){l.current=this;try{t=this._renderValidatedComponentWithoutOwnerOrContext()}finally{l.current=null}}else t=this._renderValidatedComponentWithoutOwnerOrContext();return null===t||!1===t||c.isValidElement(t)||a(\"109\",this.getName()||\"ReactCompositeComponent\"),t},attachRef:function(t,e){var n=this.getPublicInstance();null==n&&a(\"110\");var r=e.getPublicInstance();(n.refs===v?n.refs={}:n.refs)[t]=r},detachRef:function(t){delete this.getPublicInstance().refs[t]},getName:function(){var t=this._currentElement.type,e=this._instance&&this._instance.constructor;return t.displayName||e&&e.displayName||t.name||e&&e.name||null},getPublicInstance:function(){var t=this._instance;return this._compositeType===y.StatelessFunctional?null:t},_instantiateReactComponent:null};t.exports=b},function(t,e,n){\"use strict\";var r=n(4),i=n(372),o=n(167),a=n(24),u=n(12),c=n(385),s=n(401),l=n(171),f=n(408);n(2);i.inject();var p={findDOMNode:s,render:o.render,unmountComponentAtNode:o.unmountComponentAtNode,version:c,unstable_batchedUpdates:u.batchedUpdates,unstable_renderSubtreeIntoContainer:f};\"undefined\"!=typeof __REACT_DEVTOOLS_GLOBAL_HOOK__&&\"function\"==typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.inject&&__REACT_DEVTOOLS_GLOBAL_HOOK__.inject({ComponentTree:{getClosestInstanceFromNode:r.getClosestInstanceFromNode,getNodeFromInstance:function(t){return t._renderedComponent&&(t=l(t)),t?r.getNodeFromInstance(t):null}},Mount:o,Reconciler:a});t.exports=p},function(t,e,n){\"use strict\";function r(t){if(t){var e=t._currentElement._owner||null;if(e){var n=e.getName();if(n)return\" This DOM node was rendered by `\"+n+\"`.\"}}return\"\"}function i(t,e){e&&($[t._tag]&&(null!=e.children||null!=e.dangerouslySetInnerHTML)&&g(\"137\",t._tag,t._currentElement._owner?\" Check the render method of 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Y)Y.hasOwnProperty(n)&&t._wrapperState.listeners.push(M.trapBubbledEvent(n,Y[n],e));break;case\"source\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topError\",\"error\",e)];break;case\"img\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topError\",\"error\",e),M.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"form\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topReset\",\"reset\",e),M.trapBubbledEvent(\"topSubmit\",\"submit\",e)];break;case\"input\":case\"select\":case\"textarea\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topInvalid\",\"invalid\",e)]}}function p(){P.postUpdateWrapper(this)}function h(t){Z.call(Q,t)||(X.test(t)||g(\"65\",t),Q[t]=!0)}function d(t,e){return t.indexOf(\"-\")>=0||null!=e.is}function v(t){var e=t.type;h(e),this._currentElement=t,this._tag=e.toLowerCase(),this._namespaceURI=null,this._renderedChildren=null,this._previousStyle=null,this._previousStyleCopy=null,this._hostNode=null,this._hostParent=null,this._rootNodeID=0,this._domID=0,this._hostContainerInfo=null,this._wrapperState=null,this._topLevelWrapper=null,this._flags=0}var g=n(1),m=n(3),y=n(346),_=n(348),b=n(20),x=n(83),w=n(21),C=n(160),k=n(22),E=n(84),M=n(53),T=n(161),S=n(4),N=n(365),A=n(366),P=n(162),O=n(369),I=(n(9),n(378)),D=n(383),R=(n(11),n(56)),L=(n(0),n(95),n(81),n(173)),U=(n(97),n(2),T),F=k.deleteListener,j=S.getNodeFromInstance,B=M.listenTo,V=E.registrationNameModules,W={string:!0,number:!0},z=\"__html\",H={children:null,dangerouslySetInnerHTML:null,suppressContentEditableWarning:null},q=11,Y={topAbort:\"abort\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topSeeked:\"seeked\",topSeeking:\"seeking\",topStalled:\"stalled\",topSuspend:\"suspend\",topTimeUpdate:\"timeupdate\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\"},K={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0},G={listing:!0,pre:!0,textarea:!0},$=m({menuitem:!0},K),X=/^[a-zA-Z][a-zA-Z:_\\.\\-\\d]*$/,Q={},Z={}.hasOwnProperty,J=1;v.displayName=\"ReactDOMComponent\",v.Mixin={mountComponent:function(t,e,n,r){this._rootNodeID=J++,this._domID=n._idCounter++,this._hostParent=e,this._hostContainerInfo=n;var o=this._currentElement.props;switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":this._wrapperState={listeners:null},t.getReactMountReady().enqueue(f,this);break;case\"input\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o),t.getReactMountReady().enqueue(l,this),t.getReactMountReady().enqueue(f,this);break;case\"option\":A.mountWrapper(this,o,e),o=A.getHostProps(this,o);break;case\"select\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o),t.getReactMountReady().enqueue(f,this);break;case\"textarea\":O.mountWrapper(this,o,e),o=O.getHostProps(this,o),t.getReactMountReady().enqueue(l,this),t.getReactMountReady().enqueue(f,this)}i(this,o);var a,p;null!=e?(a=e._namespaceURI,p=e._tag):n._tag&&(a=n._namespaceURI,p=n._tag),(null==a||a===x.svg&&\"foreignobject\"===p)&&(a=x.html),a===x.html&&(\"svg\"===this._tag?a=x.svg:\"math\"===this._tag&&(a=x.mathml)),this._namespaceURI=a;var h;if(t.useCreateElement){var d,v=n._ownerDocument;if(a===x.html)if(\"script\"===this._tag){var g=v.createElement(\"div\"),m=this._currentElement.type;g.innerHTML=\"<\"+m+\"></\"+m+\">\",d=g.removeChild(g.firstChild)}else d=o.is?v.createElement(this._currentElement.type,o.is):v.createElement(this._currentElement.type);else d=v.createElementNS(a,this._currentElement.type);S.precacheNode(this,d),this._flags|=U.hasCachedChildNodes,this._hostParent||C.setAttributeForRoot(d),this._updateDOMProperties(null,o,t);var _=b(d);this._createInitialChildren(t,o,r,_),h=_}else{var w=this._createOpenTagMarkupAndPutListeners(t,o),k=this._createContentMarkup(t,o,r);h=!k&&K[this._tag]?w+\"/>\":w+\">\"+k+\"</\"+this._currentElement.type+\">\"}switch(this._tag){case\"input\":t.getReactMountReady().enqueue(u,this),o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"select\":case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"option\":t.getReactMountReady().enqueue(s,this)}return h},_createOpenTagMarkupAndPutListeners:function(t,e){var n=\"<\"+this._currentElement.type;for(var r in e)if(e.hasOwnProperty(r)){var i=e[r];if(null!=i)if(V.hasOwnProperty(r))i&&o(this,r,i,t);else{\"style\"===r&&(i&&(i=this._previousStyleCopy=m({},e.style)),i=_.createMarkupForStyles(i,this));var a=null;null!=this._tag&&d(this._tag,e)?H.hasOwnProperty(r)||(a=C.createMarkupForCustomAttribute(r,i)):a=C.createMarkupForProperty(r,i),a&&(n+=\" \"+a)}}return t.renderToStaticMarkup?n:(this._hostParent||(n+=\" \"+C.createMarkupForRoot()),n+=\" \"+C.createMarkupForID(this._domID))},_createContentMarkup:function(t,e,n){var r=\"\",i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&(r=i.__html);else{var o=W[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)r=R(o);else if(null!=a){var u=this.mountChildren(a,t,n);r=u.join(\"\")}}return G[this._tag]&&\"\\n\"===r.charAt(0)?\"\\n\"+r:r},_createInitialChildren:function(t,e,n,r){var i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&b.queueHTML(r,i.__html);else{var o=W[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)\"\"!==o&&b.queueText(r,o);else if(null!=a)for(var u=this.mountChildren(a,t,n),c=0;c<u.length;c++)b.queueChild(r,u[c])}},receiveComponent:function(t,e,n){var r=this._currentElement;this._currentElement=t,this.updateComponent(e,r,t,n)},updateComponent:function(t,e,n,r){var o=e.props,a=this._currentElement.props;switch(this._tag){case\"input\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"option\":o=A.getHostProps(this,o),a=A.getHostProps(this,a);break;case\"select\":o=P.getHostProps(this,o),a=P.getHostProps(this,a);break;case\"textarea\":o=O.getHostProps(this,o),a=O.getHostProps(this,a)}switch(i(this,a),this._updateDOMProperties(o,a,t),this._updateDOMChildren(o,a,t,r),this._tag){case\"input\":N.updateWrapper(this),L.updateValueIfChanged(this);break;case\"textarea\":O.updateWrapper(this);break;case\"select\":t.getReactMountReady().enqueue(p,this)}},_updateDOMProperties:function(t,e,n){var r,i,a;for(r in t)if(!e.hasOwnProperty(r)&&t.hasOwnProperty(r)&&null!=t[r])if(\"style\"===r){var u=this._previousStyleCopy;for(i in u)u.hasOwnProperty(i)&&(a=a||{},a[i]=\"\");this._previousStyleCopy=null}else V.hasOwnProperty(r)?t[r]&&F(this,r):d(this._tag,t)?H.hasOwnProperty(r)||C.deleteValueForAttribute(j(this),r):(w.properties[r]||w.isCustomAttribute(r))&&C.deleteValueForProperty(j(this),r);for(r in e){var c=e[r],s=\"style\"===r?this._previousStyleCopy:null!=t?t[r]:void 0;if(e.hasOwnProperty(r)&&c!==s&&(null!=c||null!=s))if(\"style\"===r)if(c?c=this._previousStyleCopy=m({},c):this._previousStyleCopy=null,s){for(i in s)!s.hasOwnProperty(i)||c&&c.hasOwnProperty(i)||(a=a||{},a[i]=\"\");for(i in c)c.hasOwnProperty(i)&&s[i]!==c[i]&&(a=a||{},a[i]=c[i])}else a=c;else if(V.hasOwnProperty(r))c?o(this,r,c,n):s&&F(this,r);else if(d(this._tag,e))H.hasOwnProperty(r)||C.setValueForAttribute(j(this),r,c);else if(w.properties[r]||w.isCustomAttribute(r)){var l=j(this);null!=c?C.setValueForProperty(l,r,c):C.deleteValueForProperty(l,r)}}a&&_.setValueForStyles(j(this),a,this)},_updateDOMChildren:function(t,e,n,r){var i=W[typeof t.children]?t.children:null,o=W[typeof e.children]?e.children:null,a=t.dangerouslySetInnerHTML&&t.dangerouslySetInnerHTML.__html,u=e.dangerouslySetInnerHTML&&e.dangerouslySetInnerHTML.__html,c=null!=i?null:t.children,s=null!=o?null:e.children,l=null!=i||null!=a,f=null!=o||null!=u;null!=c&&null==s?this.updateChildren(null,n,r):l&&!f&&this.updateTextContent(\"\"),null!=o?i!==o&&this.updateTextContent(\"\"+o):null!=u?a!==u&&this.updateMarkup(\"\"+u):null!=s&&this.updateChildren(s,n,r)},getHostNode:function(){return j(this)},unmountComponent:function(t){switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":var e=this._wrapperState.listeners;if(e)for(var n=0;n<e.length;n++)e[n].remove();break;case\"input\":case\"textarea\":L.stopTracking(this);break;case\"html\":case\"head\":case\"body\":g(\"66\",this._tag)}this.unmountChildren(t),S.uncacheNode(this),k.deleteAllListeners(this),this._rootNodeID=0,this._domID=0,this._wrapperState=null},getPublicInstance:function(){return j(this)}},m(v.prototype,v.Mixin,I.Mixin),t.exports=v},function(t,e,n){\"use strict\";function r(t,e){var n={_topLevelWrapper:t,_idCounter:1,_ownerDocument:e?e.nodeType===i?e:e.ownerDocument:null,_node:e,_tag:e?e.nodeName.toLowerCase():null,_namespaceURI:e?e.namespaceURI:null};return n}var i=(n(97),9);t.exports=r},function(t,e,n){\"use strict\";var r=n(3),i=n(20),o=n(4),a=function(t){this._currentElement=null,this._hostNode=null,this._hostParent=null,this._hostContainerInfo=null,this._domID=0};r(a.prototype,{mountComponent:function(t,e,n,r){var a=n._idCounter++;this._domID=a,this._hostParent=e,this._hostContainerInfo=n;var u=\" react-empty: \"+this._domID+\" 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c=u.querySelectorAll(\"input[name=\"+JSON.stringify(\"\"+i)+'][type=\"radio\"]'),p=0;p<c.length;p++){var h=c[p];if(h!==o&&h.form===o.form){var d=l.getInstanceFromNode(h);d||a(\"90\"),f.asap(r,d)}}}return n}var a=n(1),u=n(3),c=n(160),s=n(86),l=n(4),f=n(12),p=(n(0),n(2),{getHostProps:function(t,e){var n=s.getValue(e),r=s.getChecked(e);return u({type:void 0,step:void 0,min:void 0,max:void 0},e,{defaultChecked:void 0,defaultValue:void 0,value:null!=n?n:t._wrapperState.initialValue,checked:null!=r?r:t._wrapperState.initialChecked,onChange:t._wrapperState.onChange})},mountWrapper:function(t,e){var n=e.defaultValue;t._wrapperState={initialChecked:null!=e.checked?e.checked:e.defaultChecked,initialValue:null!=e.value?e.value:n,listeners:null,onChange:o.bind(t),controlled:i(e)}},updateWrapper:function(t){var e=t._currentElement.props,n=e.checked;null!=n&&c.setValueForProperty(l.getNodeFromInstance(t),\"checked\",n||!1);var r=l.getNodeFromInstance(t),i=s.getValue(e);if(null!=i)if(0===i&&\"\"===r.value)r.value=\"0\";else if(\"number\"===e.type){var o=parseFloat(r.value,10)||0;(i!=o||i==o&&r.value!=i)&&(r.value=\"\"+i)}else r.value!==\"\"+i&&(r.value=\"\"+i);else null==e.value&&null!=e.defaultValue&&r.defaultValue!==\"\"+e.defaultValue&&(r.defaultValue=\"\"+e.defaultValue),null==e.checked&&null!=e.defaultChecked&&(r.defaultChecked=!!e.defaultChecked)},postMountWrapper:function(t){var e=t._currentElement.props,n=l.getNodeFromInstance(t);switch(e.type){case\"submit\":case\"reset\":break;case\"color\":case\"date\":case\"datetime\":case\"datetime-local\":case\"month\":case\"time\":case\"week\":n.value=\"\",n.value=n.defaultValue;break;default:n.value=n.value}var r=n.name;\"\"!==r&&(n.name=\"\"),n.defaultChecked=!n.defaultChecked,n.defaultChecked=!n.defaultChecked,\"\"!==r&&(n.name=r)}});t.exports=p},function(t,e,n){\"use strict\";function r(t){var e=\"\";return o.Children.forEach(t,function(t){null!=t&&(\"string\"==typeof t||\"number\"==typeof t?e+=t:c||(c=!0))}),e}var i=n(3),o=n(26),a=n(4),u=n(162),c=(n(2),!1),s={mountWrapper:function(t,e,n){var i=null;if(null!=n){var o=n;\"optgroup\"===o._tag&&(o=o._hostParent),null!=o&&\"select\"===o._tag&&(i=u.getSelectValueContext(o))}var a=null;if(null!=i){var c;if(c=null!=e.value?e.value+\"\":r(e.children),a=!1,Array.isArray(i)){for(var s=0;s<i.length;s++)if(\"\"+i[s]===c){a=!0;break}}else a=\"\"+i===c}t._wrapperState={selected:a}},postMountWrapper:function(t){var e=t._currentElement.props;if(null!=e.value){a.getNodeFromInstance(t).setAttribute(\"value\",e.value)}},getHostProps:function(t,e){var n=i({selected:void 0,children:void 0},e);null!=t._wrapperState.selected&&(n.selected=t._wrapperState.selected);var o=r(e.children);return o&&(n.children=o),n}};t.exports=s},function(t,e,n){\"use strict\";function r(t,e,n,r){return t===n&&e===r}function i(t){var e=document.selection,n=e.createRange(),r=n.text.length,i=n.duplicate();i.moveToElementText(t),i.setEndPoint(\"EndToStart\",n);var o=i.text.length;return{start:o,end:o+r}}function o(t){var e=window.getSelection&&window.getSelection();if(!e||0===e.rangeCount)return null;var n=e.anchorNode,i=e.anchorOffset,o=e.focusNode,a=e.focusOffset,u=e.getRangeAt(0);try{u.startContainer.nodeType,u.endContainer.nodeType}catch(t){return null}var c=r(e.anchorNode,e.anchorOffset,e.focusNode,e.focusOffset),s=c?0:u.toString().length,l=u.cloneRange();l.selectNodeContents(t),l.setEnd(u.startContainer,u.startOffset);var f=r(l.startContainer,l.startOffset,l.endContainer,l.endOffset),p=f?0:l.toString().length,h=p+s,d=document.createRange();d.setStart(n,i),d.setEnd(o,a);var v=d.collapsed;return{start:v?h:p,end:v?p:h}}function a(t,e){var n,r,i=document.selection.createRange().duplicate();void 0===e.end?(n=e.start,r=n):e.start>e.end?(n=e.end,r=e.start):(n=e.start,r=e.end),i.moveToElementText(t),i.moveStart(\"character\",n),i.setEndPoint(\"EndToStart\",i),i.moveEnd(\"character\",r-n),i.select()}function u(t,e){if(window.getSelection){var n=window.getSelection(),r=t[l()].length,i=Math.min(e.start,r),o=void 0===e.end?i:Math.min(e.end,r);if(!n.extend&&i>o){var a=o;o=i,i=a}var u=s(t,i),c=s(t,o);if(u&&c){var f=document.createRange();f.setStart(u.node,u.offset),n.removeAllRanges(),i>o?(n.addRange(f),n.extend(c.node,c.offset)):(f.setEnd(c.node,c.offset),n.addRange(f))}}}var c=n(6),s=n(405),l=n(172),f=c.canUseDOM&&\"selection\"in document&&!(\"getSelection\"in window),p={getOffsets:f?i:o,setOffsets:f?a:u};t.exports=p},function(t,e,n){\"use strict\";var r=n(1),i=n(3),o=n(82),a=n(20),u=n(4),c=n(56),s=(n(0),n(97),function(t){this._currentElement=t,this._stringText=\"\"+t,this._hostNode=null,this._hostParent=null,this._domID=0,this._mountIndex=0,this._closingComment=null,this._commentNodes=null});i(s.prototype,{mountComponent:function(t,e,n,r){var i=n._idCounter++,o=\" react-text: \"+i+\" \";if(this._domID=i,this._hostParent=e,t.useCreateElement){var s=n._ownerDocument,l=s.createComment(o),f=s.createComment(\" /react-text \"),p=a(s.createDocumentFragment());return a.queueChild(p,a(l)),this._stringText&&a.queueChild(p,a(s.createTextNode(this._stringText))),a.queueChild(p,a(f)),u.precacheNode(this,l),this._closingComment=f,p}var h=c(this._stringText);return t.renderToStaticMarkup?h:\"\\x3c!--\"+o+\"--\\x3e\"+h+\"\\x3c!-- /react-text --\\x3e\"},receiveComponent:function(t,e){if(t!==this._currentElement){this._currentElement=t;var n=\"\"+t;if(n!==this._stringText){this._stringText=n;var r=this.getHostNode();o.replaceDelimitedText(r[0],r[1],n)}}},getHostNode:function(){var t=this._commentNodes;if(t)return t;if(!this._closingComment)for(var e=u.getNodeFromInstance(this),n=e.nextSibling;;){if(null==n&&r(\"67\",this._domID),8===n.nodeType&&\" /react-text \"===n.nodeValue){this._closingComment=n;break}n=n.nextSibling}return t=[this._hostNode,this._closingComment],this._commentNodes=t,t},unmountComponent:function(){this._closingComment=null,this._commentNodes=null,u.uncacheNode(this)}}),t.exports=s},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&l.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=u.executeOnChange(e,t);return s.asap(r,this),n}var o=n(1),a=n(3),u=n(86),c=n(4),s=n(12),l=(n(0),n(2),{getHostProps:function(t,e){return null!=e.dangerouslySetInnerHTML&&o(\"91\"),a({},e,{value:void 0,defaultValue:void 0,children:\"\"+t._wrapperState.initialValue,onChange:t._wrapperState.onChange})},mountWrapper:function(t,e){var n=u.getValue(e),r=n;if(null==n){var a=e.defaultValue,c=e.children;null!=c&&(null!=a&&o(\"92\"),Array.isArray(c)&&(c.length<=1||o(\"93\"),c=c[0]),a=\"\"+c),null==a&&(a=\"\"),r=a}t._wrapperState={initialValue:\"\"+r,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=c.getNodeFromInstance(t),r=u.getValue(e);if(null!=r){var i=\"\"+r;i!==n.value&&(n.value=i),null==e.defaultValue&&(n.defaultValue=i)}null!=e.defaultValue&&(n.defaultValue=e.defaultValue)},postMountWrapper:function(t){var e=c.getNodeFromInstance(t),n=e.textContent;n===t._wrapperState.initialValue&&(e.value=n)}});t.exports=l},function(t,e,n){\"use strict\";function r(t,e){\"_hostNode\"in t||c(\"33\"),\"_hostNode\"in e||c(\"33\");for(var n=0,r=t;r;r=r._hostParent)n++;for(var i=0,o=e;o;o=o._hostParent)i++;for(;n-i>0;)t=t._hostParent,n--;for(;i-n>0;)e=e._hostParent,i--;for(var a=n;a--;){if(t===e)return t;t=t._hostParent,e=e._hostParent}return null}function i(t,e){\"_hostNode\"in 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i=n(345),o=n(347),a=n(349),u=n(351),c=n(352),s=n(355),l=n(357),f=n(360),p=n(4),h=n(362),d=n(370),v=n(368),g=n(371),m=n(375),y=n(376),_=n(381),b=n(386),x=n(387),w=n(388),C=!1;t.exports={inject:r}},function(t,e,n){\"use strict\";var r=\"function\"==typeof Symbol&&Symbol.for&&Symbol.for(\"react.element\")||60103;t.exports=r},function(t,e,n){\"use strict\";function r(t){i.enqueueEvents(t),i.processEventQueue(!1)}var i=n(22),o={handleTopLevel:function(t,e,n,o){r(i.extractEvents(t,e,n,o))}};t.exports=o},function(t,e,n){\"use strict\";function r(t){for(;t._hostParent;)t=t._hostParent;var e=f.getNodeFromInstance(t),n=e.parentNode;return f.getClosestInstanceFromNode(n)}function i(t,e){this.topLevelType=t,this.nativeEvent=e,this.ancestors=[]}function o(t){var e=h(t.nativeEvent),n=f.getClosestInstanceFromNode(e),i=n;do{t.ancestors.push(i),i=i&&r(i)}while(i);for(var o=0;o<t.ancestors.length;o++)n=t.ancestors[o],v._handleTopLevel(t.topLevelType,n,t.nativeEvent,h(t.nativeEvent))}function 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       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import h2o\n",
    "import shap\n",
    "from h2o.estimators.gbm import H2OGradientBoostingEstimator\n",
    "from h2o import H2OFrame\n",
    "\n",
    "# initialize H2O\n",
    "h2o.init()\n",
    "\n",
    "# load JS visualization code to notebook\n",
    "shap.initjs()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parse progress: |█████████████████████████████████████████████████████████| 100%\n",
      "Parse progress: |█████████████████████████████████████████████████████████| 100%\n",
      "gbm Model Build progress: |███████████████████████████████████████████████| 100%\n"
     ]
    }
   ],
   "source": [
    "# train a GBM model in H2O\n",
    "X, y = shap.datasets.boston()\n",
    "boston_housing = H2OFrame(X).cbind(H2OFrame(y, column_names=[\"medv\"]))\n",
    "\n",
    "model = H2OGradientBoostingEstimator(learn_rate=0.01, ntrees=100)\n",
    "model.train(training_frame=boston_housing, y=\"medv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# calculate SHAP values using function predict_contributions\n",
    "contributions = model.predict_contributions(boston_housing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# convert the H2O Frame to use with shap's visualization functions\n",
    "contributions_matrix = contributions.as_data_frame().values\n",
    "# shap values are calculated for all features\n",
    "shap_values = contributions_matrix[:,0:13]\n",
    "# expected values is the last returned column\n",
    "expected_value = contributions_matrix[:,13].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id='iJWNKEZ0U06MFHYXX0CJK'>\n",
       "<div style='color: #900; text-align: center;'>\n",
       "  <b>Visualization omitted, Javascript library not loaded!</b><br>\n",
       "  Have you run `initjs()` in this notebook? If this notebook was from another\n",
       "  user you must also trust this notebook (File -> Trust notebook). If you are viewing\n",
       "  this notebook on github the Javascript has been stripped for security. If you are using\n",
       "  JupyterLab this error is because a JupyterLab extension has not yet been written.\n",
       "</div></div>\n",
       " <script>\n",
       "   if (window.SHAP) SHAP.ReactDom.render(\n",
       "    SHAP.React.createElement(SHAP.AdditiveForceVisualizer, {\"featureNames\": [\"CRIM\", \"ZN\", \"INDUS\", \"CHAS\", \"NOX\", \"RM\", \"AGE\", \"DIS\", \"RAD\", \"TAX\", \"PTRATIO\", \"B\", \"LSTAT\"], \"features\": {\"0\": {\"effect\": 0.1865057498216629, \"value\": 0.00632}, \"1\": {\"effect\": 0.016132928431034088, \"value\": 18.0}, \"2\": {\"effect\": 0.045860398560762405, \"value\": 2.31}, \"4\": {\"effect\": -0.137855663895607, \"value\": 0.538}, \"5\": {\"effect\": -1.4442579746246338, \"value\": 6.575}, \"6\": {\"effect\": 0.01963323913514614, \"value\": 65.2}, \"7\": {\"effect\": -0.22135551273822784, \"value\": 4.09}, \"8\": {\"effect\": -0.007899915799498558, \"value\": 1.0}, \"9\": {\"effect\": 0.02042478136718273, \"value\": 296.0}, \"10\": {\"effect\": 0.09257614612579346, \"value\": 15.3}, \"11\": {\"effect\": 0.016350142657756802, \"value\": 396.9}, \"12\": {\"effect\": 3.618078470230103, \"value\": 4.98}}, \"baseValue\": 22.53280639648437, \"plot_cmap\": \"RdBu\", \"labelMargin\": 20, \"link\": \"identity\", \"outValue\": 24.736999185755845, \"outNames\": [\"output value\"]}),\n",
       "    document.getElementById('iJWNKEZ0U06MFHYXX0CJK')\n",
       "  );\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualize the first prediction's explanation\n",
    "shap.force_plot(expected_value, shap_values[0,:], X.iloc[0,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id='i4REYODHO5D2TKSDOU3PF'>\n",
       "<div style='color: #900; text-align: center;'>\n",
       "  <b>Visualization omitted, Javascript library not loaded!</b><br>\n",
       "  Have you run `initjs()` in this notebook? If this notebook was from another\n",
       "  user you must also trust this notebook (File -> Trust notebook). If you are viewing\n",
       "  this notebook on github the Javascript has been stripped for security. If you are using\n",
       "  JupyterLab this error is because a JupyterLab extension has not yet been written.\n",
       "</div></div>\n",
       " <script>\n",
       "   if (window.SHAP) SHAP.ReactDom.render(\n",
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       "    document.getElementById('i4REYODHO5D2TKSDOU3PF')\n",
       "  );\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualize the training set predictions\n",
    "shap.force_plot(expected_value, shap_values, X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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PQHmCJwpvShzjP/4evsp64jKbqqj7/XwS/X4+qXMfrkfrcDWyA2QG1rOAzUBfYBJwQmD/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\nU2hbEbi59AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10efeb590>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a SHAP dependence plot to show the effect of a single feature across the whole dataset\n",
    "shap.dependence_plot(\"RM\", shap_values, X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ovk99Z09vhZ/Pt+otGRRguR4ViR4CrluSbv0j23un77mtmVQoTC4YpLmpoTew0IU8hbI5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\nLawXYwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ee1f1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# summarize the effects of all the features\n",
    "shap.summary_plot(shap_values, X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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E4EGSJHVi8CBJkjoxeJAkSZ0YPEiSpE4MHiRJUicGD5IkqRODB0mS1InBgyRJ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\n5xYMXtfrlFJWbU1vxOPvbf8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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ee1f250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values, X, plot_type=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
